Sentence examples for between entities based on from inspiring English sources

The K-means algorithm is best suited for finding similarities between entities based on distance measures with small datasets.

The known interactions receive a weight corresponding the interaction level between entities based on the similarity value derived from the application of the VSM.

Li et al. [65] apply the CRF model for extraction of specific relations between two entities based on general relations.

This database catalogs relationships between biologic entities based on the published literature and was used to identify the direct interactions between the arsenic-modified genes.

We propose a novel general-purpose annotation similarity measure called 'AnnSim' that measures the relatedness between two entities based on the similarity of their annotations.

Non-causal edges simply connect different forms of a biological entity, such as its mRNA expression and its protein abundance, while causal edges are cause-effect relationships between biological entities based on primary literature data.

The proposed solution will result in a flexible Grid architecture that supports cooperation between different scheduling entities, based on a scalable framework for dynamic configuration and interconnection of multiple types of resources for high performance Grid applications over globally distributed optical network systems.

To our knowledge this is the first approach to measure similarity between two multivariate entities based on joint probability density masses in selected points giving emphasis on both linear and probabilistic relations.

14 16 The microfluidics system of the biosensor allows the injection of the compound over an immobilised protein and the optical detector measures the direct binding between the two entities based on the difference in refractive index near the surface that occurs as the compound binds, thus allowing a real-time and label-free measurement of compound binding to the target.

Based on hidden Markov models, the named entity tagging feature uses text chunking and n-gram models to make predictions about entities based on statistics gathered from training.

The medication stores were supplied to the different federate entities based on their needs.